Fog computing perception mechanism based on throughput rate constraint in intelligent Internet of Things

Jiang, Fei; Ma, Xiaoping

doi:10.1007/s00779-019-01200-9

Cited by 12 publications

(7 citation statements)

References 19 publications

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“…He obtains more complete and reliable measurement data than a single sensor, thereby improving the transmission efficiency of the network and the accuracy of environmental perception. e simulation results show that the model has the characteristics of reliable node perception data and flexible expansion, which can effectively improve the reliability of IoT data sources [4]. Villemur et al introduce and test the architecture of single-instruction, multiple-data (SIMD) processors.…”

Section: Related Workmentioning

confidence: 99%

The Cultivation and Training Effect of the Subconscious Mind in Physical Education and Training by Intelligent Internet of Things Network Computing

Jia

2022

Security and Communication Networks

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With the deep integration of the Internet of Things and artificial intelligence, the intelligent Internet of Things is becoming a cutting-edge technology with broad application prospects. The intelligent Internet of Things can realize the interconnection, interaction, perception, and calculation of human, machine, object, environment, and other elements, thereby realizing the intelligent space function with self-organization, self-learning, self-adaptation, and continuous evolution. Based on the intelligent Internet of things, this paper analyzes the cultivation and training effect of network computing on the subconscious in physical education training. An experimental study of its influence on the learning of shooting techniques in the compulsory basketball course of the physical education class of the high school affiliated to Jiangxi Normal University in 2020 was conducted. It is concluded that the average score of students’ learning motivation in the intelligent Internet of Things network computing group is 4.06, and the average score of learning interest is 3.9. After the experiment, the pass rate of students’ shooting was 92%, and the excellent rate was 74%. The use of intelligent Internet of Things network computing technology can significantly improve students’ learning motivation, learning interest, and training effect.

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Section: Related Workmentioning

confidence: 99%

The Cultivation and Training Effect of the Subconscious Mind in Physical Education and Training by Intelligent Internet of Things Network Computing

Jia

2022

Security and Communication Networks

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“…However, there are only a few types of agricultural product barcode technology applications in the logistics industry, and the promotion and application of agricultural products has a long history. The logistic burden of this farm is [16]. The perceived logistics utilization rate of agricultural products can be calculated in Eqs.…”

Section: Application and Characteristics Of Internet Of Thingsmentioning

confidence: 99%

RETRACTED ARTICLE: Application research of perception data fusion system of agricultural product supply chain based on Internet of things

Sun

Shu

2021

J Wireless Com Network

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There are often agricultural product quality problems in the production and circulation of agricultural products. Therefore, there are more and more people on the agricultural product supply chain based on the Internet of things. This article mainly introduces the research on the perception data fusion of agricultural product supply chain in the context of the Internet of things. This is a simple research result based on the Internet of things technology platform, which analyzes the current status of the product according to market demand. After analysis and comparison, a sensory data fusion model suitable for the supply chain of agricultural products is obtained, and information technology based on the Internet of things is used to transform and optimize the Internet of things in the circulation of agricultural products. The experimental results of this article show that data fusion technology based on the Internet of things can solve and track 69.45% of the problem of unknown sources of agricultural products, improve the supply efficiency of agricultural products by 43%, reduce the health problems of agricultural products by 31.24%, and reduce the prices of agricultural products by 13–20%. Improving logistics efficiency can save 5 million tons of agricultural products.

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“…NB-IoT has been released to facilitate the ultra-low complexity and low throughput in the existing Long-Term Evolution (LTE) or 5G architectures. In terms of compromising lower cost investigation, there are many complicated features of existing LTE or 5G systems that have been removed and make this standard as simple as possible to lessen the complicated communication process to save the power consumption and increase number of communication channel [11,12]. NB-IoT physical layer has been designed to support a 200-kHz system bandwidth in both uplink and downlink [13,14].…”

Section: Narrowband Internet Of Thingsmentioning

confidence: 99%

A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing

Math

Tam

Lee

et al. 2020

Pers Ubiquit Comput

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The convergence of mobile edge computing (MEC) to the current Internet of Things (IoT) environment enables a great opportunity to enhance massive IoT data transmission. In the narrowband Internet of Things (NB-IoT), the huge number of IoT devices sends the information to the remote network. Simultaneously, the massive IoT devices from the heterogeneous locations access to the radio remote head (RRH) resources to communicate with the remote servers (e.g., mobile cloud computing), while there are limited resources in NB-IoT environments. Therefore, many IoT traffic may be discarded and may have too long queue times for each traffic where it can cause the battery life reduction of the IoT devices. To cope with the mentioned issues, this paper proposed a novel and efficient IoT data transmission scheme based on dynamic resource sharing of RRHs called efficient dynamic resource sharing scheme (E-DRSS). The proposed E-DRSS computes the heterogeneous IoT device with different resources into new groups, and then each group of IoT devices is selected for accessing its appropriate RRH. The evaluation of performance shows that the proposed scheme enhances quality of service (QoS) outperform on the current IoT scheme in terms of the jitters, end-to-end (E2E) latency, throughputs, and number of packets drop during transmission. Therefore, the proposed scheme is suitable to handle more IoT devices simultaneously and increase the communication reliability.

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Fog computing perception mechanism based on throughput rate constraint in intelligent Internet of Things

Cited by 12 publications

References 19 publications

The Cultivation and Training Effect of the Subconscious Mind in Physical Education and Training by Intelligent Internet of Things Network Computing

The Cultivation and Training Effect of the Subconscious Mind in Physical Education and Training by Intelligent Internet of Things Network Computing

RETRACTED ARTICLE: Application research of perception data fusion system of agricultural product supply chain based on Internet of things

A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing

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